IReNA Online Seminar featuring Tilman Hartwig (University or Tokyo)
Title: Stellar Archaeology as a Time Machine to the First Stars
Abstract: I will present how the properties of the first stars can be derived from the abundance patterns of extremely metal-poor (EMP) stars in the Milky Way. After a general introduction and motivation, I will present our recent research results: based on theoretical models of the chemical yields of the first supernovae, we train Support Vector Machines to classify EMP stars. This AI-based approach predicts if a specific abundance pattern is consistent with supernova enrichment by one or by several progenitor stars (mono- or multi-enriched). By applying the trained classifier to actual observations, we find that most EMP stars are multi-enriched, which is the first observational confirmation for the multiplicity of the first stars.